Triple
T1572654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince George’s County Public Schools |
E33574
|
entity |
| Predicate | assessmentSystem |
P750
|
FINISHED |
| Object | state standardized testing |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: state standardized testing | Statement: [Prince George’s County Public Schools, assessmentSystem, state standardized testing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assessmentSystem Context triple: [Prince George’s County Public Schools, assessmentSystem, state standardized testing]
-
A.
assessmentMethod
chosen
Indicates the method or procedure used to evaluate, measure, or judge something.
-
B.
assessedBy
Indicates that an entity has been evaluated, examined, or judged by another entity (typically an agent or authority).
-
C.
examProvider
Indicates that one entity is the organization or individual responsible for creating, administering, or supplying an exam to another entity.
-
D.
trainingSystem
Indicates a system or framework used to train, instruct, or develop skills or knowledge in a target entity.
-
E.
educationSystem
Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a96083e7308190abbf025fe8e43abb |
completed | March 5, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69a907ba63c88190b60c14dec8d1e40f |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.